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Dryad Wins International XPRIZE Wildfire Award for Autonomous Wildfire Detection and Suppression
XPRIZE said the competition’s finalists showed new ways to detect and suppress fires faster, with awards split across two tracks.
- On Wednesday, September 23, 2026, XPRIZE announced winners for its $11 million global Wildfire competition at an awards ceremony held at the New York City Fire Museum.
- Destructive wildfires are becoming increasingly extreme and costly, prompting XPRIZE Wildfire to challenge teams to prove that speed and autonomy can transform detection and response.
- Anduril Industries secured $1.2 million for its Lattice software platform, while Dryad Networks earned $800,000 for its Silvanet sensor network and Silvaguard drones, both meeting 10-minute detection and response benchmarks.
- The competition enters a 12- to 15-month Impact Phase to translate prototypes into deployable solutions, with Pacific Gas and Electric Company and the Minderoo Foundation supporting real-world adoption.
- Organizers prioritize supporting deployments with firefighting agencies as teams refine technologies for commercial availability by 2028, aiming to neutralize fires before they escalate into large-scale disasters.
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cedarnews.netReposted by 
DRONELIFE
DRONELIFEFire Foresight Wins $500,000 XPRIZE Wildfire Award
نُشر هذا المقال أولاً عبر Cedarnews.net. لمتابعة المزيد من الأخبار والتقارير الحصرية، زورونا على موقعنا. Wildfire: The Australian-British team met the competition’s 10-minute detection gate during Finals Testing near Nenana, Alaska, linking fixed cameras, AI and. تم نشر هذا الخبر عبر موقع Cedarnews الإخباري. للاطلاع على مزيد من الأخبار العاجلة والتقارير الحصرية، زوروا موقعنا الرسمي.
Ars TechnicaReposted by 
online-listing.com
online-listing.comXPRIZE Wildfire winners spotted fires within 10 min—but couldn’t stop them
$11M competition showed wildfire detection is still easier than stopping fires.
·Cambridge, United States
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Total News Sources19
Leaning Left1Leaning Right2Center5Last UpdatedBias Distribution62% Center
Bias Distribution
- 62% of the sources are Center
62% Center
13%
C 62%
R 25%
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